In general, our lab is interested in studying (experimentally and computationally) protein-protein interactions. In this project we looked at dimerization preferences among a family of eukaryotic transcription factors - bZIP proteins. In an earlier study done in the lab, protein microarrays had been used to experimentally characterize all pair-wise interactions among human bZIPs. In the present study, we used a computational structure prediction-based approach to explain the experimentally observed binding preferences. Our study present a physically-relevant model that predicts results in good agreement with experimental. We also outline certain successes and failures encountered along the way to developing the final model, which are likely relevant for many of the current structure-based approaches for prediction of interaction specificities. I will post the link as soon as the paper is published.

+

In general, our lab is interested in studying (experimentally and computationally) protein-protein interactions. In this project we looked at dimerization preferences among a family of eukaryotic transcription factors - basic region leucine zipper (bZIP) proteins. In an earlier study done in the lab, protein microarrays had been used to experimentally characterize all pair-wise interactions among human bZIPs. In the present study, we used a computational structure prediction-based approach to explain the experimentally observed binding preferences. Our study presents a physically-relevant model that predicts results in good agreement with the experiment. We also outline certain successes and failures encountered along the way to developing the final model, which are likely relevant for many of the current structure-based approaches for prediction of interaction specificities. I will post the link as soon as the paper is published.

Contents

Intro

Graduate student in the Keating lab since the summer of 2003. I am involved in several projects in the lab dealing with theoretical and computational aspects of protein design and protein interaction prediction. I received a Bachelor's degree in Biochemistry and one in Computer Science from University of Maryland Baltimore County in 2002.

News

11/11/05 bZIP paper accepted

In general, our lab is interested in studying (experimentally and computationally) protein-protein interactions. In this project we looked at dimerization preferences among a family of eukaryotic transcription factors - basic region leucine zipper (bZIP) proteins. In an earlier study done in the lab, protein microarrays had been used to experimentally characterize all pair-wise interactions among human bZIPs. In the present study, we used a computational structure prediction-based approach to explain the experimentally observed binding preferences. Our study presents a physically-relevant model that predicts results in good agreement with the experiment. We also outline certain successes and failures encountered along the way to developing the final model, which are likely relevant for many of the current structure-based approaches for prediction of interaction specificities. I will post the link as soon as the paper is published.

10/26/05 MIT TechTalk Article

MIT TechTalk published an article about our application of cluster expansion to protein design and the PRL paper. See here or here.

09/30/05 PRL paper published

Apparently, PRL has a super strict policy about reproducing papers in any format, so I can not post the PDF here, as previously promised. However, here is a link to the abstract. Our library has a subscription, so if you log in through Vera, you can get the PDF.

08/17/05 PRL paper accepted

In collaboration with the Ceder Lab in the Department of Materials Science and Engineering at MIT, we have recently submitted a paper to Physics Review Letters (Fei Zhou, Gevorg Grigoryan, Amy Keating, Gerbrand Ceder, Dane Morgan, "Coarse graining protein energetics with cluster expansion"). It got accepted with some very positive reviews. Here are some excerpts:

"This submitted paper is very original and could lead to important developments."

"In other words, the authors might consider a somewhat "dumbed down" version of their paper (sorry!), and use it as a sort of introduction to a longer paper where mathematical developments are given in detail. In that way, readers in both disciplines may well look forward with great anticipation to the full treatment (to appear in PRB, say)... In summary, the authors' is an extremely interesting approach, perhaps the most wildly interdisciplinary that I have seen. It amply merits publication in PRL, but in my opinion requires reworking so that non-specialists (of both communities!) may appreciate the novelty and power of the proposed method."

"Given the enormous interest in protein design and protein folding at the present time, the article is likely to find wide interest amongst the readership of the journal."

We are extremely happy that the paper got in with such great reviews. I shall post a PDF once it is published.